Data Engineer (Proposal)

The World at Abt

Solving the world’s most pressing issues and improving the quality of life for people worldwide is what we do every day at Abt. Advancing data-driven innovations is no small task, but we are driven by big challenges.

We are a team of 2,000+ people in over 40 countries working in unison and focused on the bigger picture. Only by sharing our commitment, energy, and innovation do we affect change and push the boundaries of what’s possible. We welcome representative ideas, backgrounds, and viewpoints – joining Abt means access to exceptional thinkers at the top of their game. 

To thrive at Abt is to embrace flexibility and collaboration. Our open culture allows you to balance your work and personal life as needed to optimize personal well-being. We create value-driven partnerships around the world, but our greatest focus is on empowering our employees to advance our mission.

Ready to embrace rewarding and meaningful work? Now’s your chance.

The Opportunity

As a Data Engineer, you will design and maintain secure, reliable, and scalable data pipelines that power advanced analytics, reporting, and decision-making across mission-driven federal programs. You will support the integration of diverse data sources, optimize cloud-based data workflows, and enable downstream data science, AI/ML, and business intelligence solutions. This full-time role is contracted through TSPi, Abt Global’s digital services subsidiary.

Core Responsibilities

• Develop, build, and maintain data ingestion, ETL/ELT, and integration pipelines as defined in the data architectures across cloud environments such as Azure GovCloud or AWS GovCloud.
• Clean, validate, and transform large datasets to support analytics, dashboards, operational reporting, and machine learning workflows.
• Develop and support API-based integrations for seamless data exchange across internal and external systems.
• Automate data workflows and monitor day-to-day pipeline operations to ensure performance, reliability, and scalability.
• Implement best practices and controls for data security, governance, lineage, and compliance within regulated cloud environments.
• Optimize data flows to support predictive analytics, semantic models, and reporting tools.
• Collaborate with data scientists, analysts, and cloud engineers to support feature engineering, data modeling, and analytic solution development.
• Contribute to continuous improvement of engineering standards, documentation, and cloud data operations.
• Manage pipeline performance, cost optimization and reliability, including monitoring of SLAs and data quality.

What We Value

• Bachelor’s degree with at least nine years, or master’s degree with at least seven years in data engineering, ETL development, or database engineering.
• Strong proficiency in SQL, Python, and cloud-based data engineering practices.
• Experience building ETL/ELT pipelines using modern orchestration tools and cloud services.
• Strong understanding of data quality, validation, and monitoring techniques.
• Familiarity with cloud platforms (Azure, AWS) and security/compliance frameworks in regulated environments.
• Ability to solve complex problems and collaborate effectively within cross-functional teams.
• Technical Environment (Experience with One or More is Valued)
  • Cloud Platforms: Azure GovCloud, AWS GovCloud
  • Data Storage & Processing: Cloud data lakes, lakehouse environments; Databricks, PySpark, Python, SQL
  • Data Integration & Streaming: Cloud-native ETL/ELT tools, APIs, Kafka/Event Hubs
  • Analytics Support: Power BI, semantic modeling concepts
  • Governance: Metadata, lineage, and access control tools (e.g., Collibra, Immuta)
  • Applications & CRM Platforms: Dynamics 365, Salesforce

Preferred Qualifications

• Experience with government, healthcare, benefits, or payments data environments.
• Exposure to analytical concepts such as anomaly detection, pattern recognition, entity resolution, or risk scoring.
• Experience supporting ML feature engineering or operational analytics pipelines.
• Familiarity with federal compliance standards such as FISMA, FedRAMP, or similar frameworks.
• Experience working within a data lakehouse architecture

What We Offer

We foster an environment whe